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223 results for “ammonia”
Measurements from CalCOFI cruises in the California Current System, including log of station information, weather, sea conditions as well as physical, chemical and biological measurements including including temperature, salinity, oxygen, density, sigma theta, phosphate, silicate, nitrite, nitrate, ammonia, chlorophyll a, integrated chlorophyll a, primary productivity, and integrated primary production. 1949 - January 2020
Since 1949, hydrographic and biological data of the California Current System have been collected on quarterly CalCOFI cruises. The 59+ year hydrographic time-series includes weather, temperature, salinity, oxygen and phosphate observations. In 1961, nutrient analysis expanded to include silicate, nitrate and nitrite; in 1973, chlorophyll was added; in 1984, C14 primary productivity incubations were added. These data are being provided here in collaboration with CalCOFI-SIO in order to provide an additional queriable interface to the data. The data are updated on a regular basis from the CalCOFI hydrographic database.
Data for: Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid-ammonia nucleation
<p>Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.3.4. which contains the control case and three experiments with the NPF lookup table. This paper is published at EGUshpere by journal: Geoscientific Model Development.</p> <p>The files contain:</p> <p>Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 6-hourly grib datasets. The post-process bash script which contains the function for the CDN and cloud effective radius weighted average towards cloud_time is found in the supplemented zendo link.</p> <p>NetCDF files from TM5 general output for each simulation. </p>
Generation of Ammonia in a Pulsed Hollow Cathode Discharge
<p>A hollow cathode discharge with a copper nickel cathode (Cu50Ni50) was operated in an Ar/H2/N2 gas mixture. Optical emission spectroscopy revealed the formation of NH radicals, which serve as precursors for NH3 formation. Ion mass spectrometry showed the formation of NH3+ and NH4+ ions indicating NH3 formation. Gas samples taken at the exhaust of the vacuum system were analyzed by Fourier transform infrared spectroscopy. Clear evidence for NH3 formation was obtained from these measurements</p>
DATASET: Evaluation of sorbents for high temperature removal of tars, hydrogen sulphide, hydrogen chloride and ammonia from biomass-derived syngas by using Aspen Plus
<p>Effect of S/B ratio on syngas; Effect of temperature on syngas; sensitivity analysis of H2S concentration respect to steam content in syngas; sensitivity analysis of H2S concentration respect to temperature.</p>
Fig. 3 in Attraction of Rhagoletis indifferens (Diptera: Tephritidae) to white light in the presence and absence of ammonia
Fig. 3. Mean numbers ± SE of Rhagoletis indifferens flies caught on clear styrene trap with 60 W halogen bulb and no ammonia lure at different light intensities (lx) shown along the x-axis. Light intensities inside test cage were 90 to 250 lx. Maximum number of flies was 60. Means with same letters are not significantly different (P> 0.05, Tukey's HSD test).
Fig. 4 in Attraction of Rhagoletis indifferens (Diptera: Tephritidae) to white light in the presence and absence of ammonia
Fig. 4. Mean numbers ± SE of Rhagoletis indifferens flies caught on sticky yellow traps with ammonia lure in control (no heat) and heat treatments, using a painted 75 W halogen bulb: (A) 76.3 °C black bulb; (B) 105.8 °C black bulb; (C) 65.0 °C white bulb; (D) 90.5 °C white bulb. Light was provided to each trap by using a 45 W LED. Top temperature inside bar is that on the bulb surface; lower temperature is that at 2.5 cm from the bulb. Light intensities inside the test cage were 90 to 250 lx. Maximum number of flies was 60.
Fig. 2 in Attraction of Rhagoletis indifferens (Diptera: Tephritidae) to white light in the presence and absence of ammonia
Fig. 2. Mean numbers ± SE of Rhagoletis indifferens flies caught on sticky yellow traps with no ammonia lure at different light intensities (lx) shown along the x-axis: (A) experiment 3, 60 W halogen bulb and (B) experiment 4, 60 W LED bulb. Light intensities inside test cage were 90 to 250 lx. Maximum number of flies was 60. Means with same letters are not significantly different (P> 0.05, Tukey's HSD test).
Fig. 1 in Attraction of Rhagoletis indifferens (Diptera: Tephritidae) to white light in the presence and absence of ammonia
Fig. 1. Mean numbers ± SE of Rhagoletis indifferens flies caught on sticky yellow traps with ammonia lure at different light intensities (lx) shown along the x-axis: experiment 1: (A) test 1A, 60 W halogen bulb; (B) test 1B, 75 W halogen bulb; experiment 2: (C) test 2A, 60 W LED bulb; (D) test 2B, 60 W LED bulb. Light intensities inside test cage were 90 to 250 lx. Maximum number of flies was 60. Means with same letters are not significantly different (P> 0.05, Tukey's HSD test).
Fig. 5 in Attraction of Rhagoletis indifferens (Diptera: Tephritidae) to white light in the presence and absence of ammonia
Fig. 5. Mean numbers ± SE of Rhagoletis indifferens flies caught on sticky yellow traps with no ammonia lure: (A) experiment 7 using a black bulb: control (light off) and heated (light on); (B) experiment 8 using an iron: control (iron off) and heated (iron on). No bulb light was provided in either experiment. Top temperature above bar is that on the surface; lower temperature is that at 2.5 cm from the heat source. Light intensities inside the test cage were 90 to 250 lx. Maximum number of flies was 60.
Ammonia emission measurements of an intensively grazed pasture - Dataset
<p>Dataset presented and referenced in the corresponding Biogeosciences publication by Voglmeier et al. (2018) [see Related identifiers]. The dataset results from a field experiment in Posieux, Switzerland. During that experiment ammonia emissions of two pasture systems were measured over an entire grazing season in 2016. The spreadsheet file contains half-hourly values of measured ammonia concentration data, computed ammonia emissions, weather and turbulence data. Additionally the calculated nitrogen in the excretion of the cows and the grazing management is given. Detailed information on the measurement methods and the data evaluation is presented in Voglmeier et al. (2018).</p>
Data Set for Anisole-water and anisole-ammonia complexes in ground and excited (S1) states: a multiconfigurational SAPT study
<p>Funding:</p> <ul> <li>National Science Center of Poland, grants no. 2019/35/B/ST4/01310 and no. 2021/43/D/ST4/02762</li> <li>European Centre of Excellence in Exascale Computing TREX - Targeting Real Chemical Accuracy at the Exascale. European Union’s Horizon 2020 - Research and Innovation program - grant agreement no. 952165.</li> <li>COST Action CA21101 ‘Confined molecular systems: from a new generation of materials to the stars’ (COSY) supported by COST (European Cooperation in Science and Technology).</li> </ul>
Dinitrogen Reduction and Functionalization by a Siloxide Supported Thulium-Potassium Complex for the Formation of Ammonia or Hydrazine Derivatives
<p>The dinitrogen (N2) chemistry of lanthanides remainsless developed compared to the d-block metals and lanthanide-promoted N2 functionalization chemistry in well-defined lanthanidecomplexes remains elusive. Here we report the synthesis andcharacterization (SQUID, EPR, DFT, X-Ray) of the siloxidesupported heterobimetallic (Tm/K) complexes[{KTm(OSi(OtBu)3)3}2(μ-η2:η2-N2)] (1) and [K3{Tm(OSi(OtBu)3)3}2(μ-η2:η2-N2)] (2). Complex 2 provides a rare example of a metalcomplex of the triply reduced N23- radical. The structure of 2 differsfrom the few previously reported N23- complexes as it presents twoTm and three K cations binding the N23- radical, facilitating N2functionalization. Notably, the K3Tm2-bound N23- moiety reacts withexcess H+ to form NH4Cl in 18% yield, and with MeOTf at roomtemperature to yield the dimethyl hydrazido complex[K2{Tm(OSi(OtBu)3)3}2(μ-(CH3)NN(CH3))] (3). Protonolysis of 3yields MeHN-NMeH·2HCl in 18 % yield.</p>
Resources for publication "Meteorologically normalised long-term trends of atmospheric ammonia (NH3) in Switzerland/Liechtenstein and the explanatory role of gas-aerosol partitioning"
<p>Resources for publication "Meteorologically normalised long-term trends of atmospheric ammonia (NH3) in Switzerland/Liechtenstein and the explanatory role of gas-aerosol partitioning".</p>
Ammonia Binding Energy distribution at Interstellar Icy Grains
<p>Zip file containing all the structures and input obtained in our article <em>ACS Earth Space Chem.</em> 2022, 6, 6, 1514–1526, <a href="https://doi.org/10.1021/acsearthspacechem.2c00040">https://doi.org/10.1021/acsearthspacechem.2c00040</a></p> <p>To easily handle all these structures an online interactive page is created: <a href="https://tinaccil.github.io/Jmol_BE_NH3_visualization/">https://tinaccil.github.io/Jmol_BE_NH3_visualization/</a></p> <p> </p> <p> </p>
Extended ensemble molecular dynamics study of ammonia–cellulose I complex crystal models: free-energy landscape and atomistic pictures of ammonia diffusion in the crystalline phase.
<p>The data deposited here accompany the manuscript "Extended ensemble molecular dynamics study of ammonia–cellulose I complex crystal models: free-energy landscape and atomistic pictures of ammonia diffusion in the crystalline phase" and include the molecular dynamics trajectories and the AMBER topology (parm) files. Detailed file contents are summarized in the README file.</p>
Data Files for "Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic"
<p>The zip file contains all data files and plots used and created in the publication:<br> Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic</p>
Data from: Biological controls over the abundances of terrestrial ammonia oxidizers
<blockquote> <p>Aim: Ammonia-oxidizing archaea (AOA) and bacteria (AOB) are the primary agents for nitrification, converting ammonia (NH4+) into nitrate (NO3-) and modulating plant nitrogen (N) utilization and terrestrial N retention. However, there is still lack of a unifying framework describing the patterns of global AOA and AOB distribution. In particular, biotic interactions are rarely integrated into any of the conceptual models.<br> Location: World-wide.<br> Time period: 2005-2016.<br> Major taxa studied: Ammonia-oxidizing archaea and ammonia-oxidizing bacteria. <br> Methods: A meta-analysis and synthesis was conducted to obtain a general picture of global AOA and AOB distribution and identify the primary driving factors. A microcosm experiment was then conducted to assess effects of relative carbon to nitrogen availability for heterotrophic microbes on AOA and AOB in two distinct soils. A mesocosm experiment was further carried out to characterize the effects of plant roots and their arbuscular mycorrhizal fungi (AMF) on AOA and AOB abundances using hyphae- or root-ingrowth techniques. <br> Results: Our meta-analysis showed that soil carbon to nitrogen (C/N) ratios explained the most variance in AOA and AOB abundances, although soil pH had a significant effect. Experimental results demonstrated that high cellulose and mineral N inputs increased total microbial biomass and microbial activities, but inhibited AOA and AOB, suggesting microbial inhibition of AOA and AOB. Also, AMF and roots suppressed AOA and AOB, respectively. <br> Main conclusions: Our study provided convincing evidence illustrating that relative carbon to nitrogen availability can dominate the abundances of AOA and AOB. Our experimental results further validated that biotic competitions among plants, heterotrophic microbes and ammonia oxidizers for substrate N predominantly control AOA and AOB abundances. Together, these findings provide new insights into the role of abiotic and biotic factors in modulating terrestrial AOA and AOB abundances and their potential applications for management of nitrification in an increasing reactive N world.</p> </blockquote>
The Impact of Ammonia on Particle Formation in the Asian Tropopause Aerosol Layer: data sources
<p>Model namelist, Configuration settings, Figure data for manuscript "The impact of ammonia on particle formation in the Asian Tropopause Aerosol Layer".</p>
Electrochemical ammonia recovery and co-production of chemicals from manure wastewater
<p class="MsoNormal"><span>Livestock manure wastewater, containing high level of ammonia, is a major source of water contamination, posing serious threats to aquatic ecosystems. Because ammonia is an important nitrogen fertilizer, efficiently recovering ammonia from manure wastewater would have multiple sustainability gains from both the pollution control and the resource recovery perspectives. Here, we develop an electrochemical strategy to achieve this goal by using an ion-selective potassium nickel hexacyanoferrate (KNiHCF) electrode as a mediator. The KNiHCF electrode spontaneously oxidizes organic matter and uptakes ammonium ions (NH₄⁺) and potassium ions (K⁺) in manure wastewater with a nutrient selectivity of ~100%. Subsequently, nitrogen- and potassium-rich fertilizers are produced alongside the electrosynthesis of H₂ (green fuel) or H₂O₂ (disinfectant) while regenerating the KNiHCF electrode. The preliminary techno-economic analysis indicates that the proposed strategy has notable economic potential and environmental benefits. This work provides a powerful strategy for efficient nutrient (NH₄⁺ and K⁺) recovery and decentralized fertilizer and chemical production from manure wastewater, paving the way to sustainable agriculture.</span></p>
Raw data set for Negative Emissions in the Chemical Sector: Lifecycle CO2 Accounting for Biomass and CCS Integration into Ethanol, Ammonia, Urea, and Hydrogen Production.
<p>This repository contains the raw data and code used to generate the results in the paper:</p> <p>Tanzer S.E., Blok K., Ramirez Ramirez A. Negative Emissions in the Chemical Sector: Lifecycle CO2 Accounting for Biomass and CCS Integration into Ethanol, Ammonia, Urea, and Hydrogen Production. 15th International Conference on Greenhouse Gas Control Technologies, GHGT-15. 2021. doi: 10.2139/ssrn.3819778.</p> <p>also published as chapter 4 in the PhD dissertation ”Negative Emissions in the Industrial Sector”. The PhD was the department of Engineering Systems and Services, Faculty of Technology Policy, Management at the Delft University of Technology, between 2017-2022. </p> <p>This is intended to be a record of the exact data and code used to generate the results and graphics used in this publication. It is not necessarily designed for user-friendliness or tested to work on other machines and may contain extraneous data and files.</p> <p>To make use of the python black box modelling library for your own work, please check out the most recent public release, which can be found at https://zenodo.org/record/5800104#.YjUTnC8w30o</p>
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